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Updated: May 30, 2025

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MUTUAL: Towards Holistic Sensing and Inference in the Operating Room.

Julien Quarez1, Yang Li1, Hassna Irzan1

  • 1Surgical & Interventional Engineering, King's College London, UK.

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|January 27, 2025
PubMed
Summary
This summary is machine-generated.

We developed MUTUAL and MUTUAL-ROS 2, data platforms for embodied AI (E-AI) in surgery. MUTUAL excels at recording, while MUTUAL-ROS 2 offers superior real-time streaming for AI inference in operating rooms.

Keywords:
Embodied AIMultimodal dataROS 2Surgical data

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Area of Science:

  • Surgical Robotics and Intelligent Systems
  • Data Infrastructure for AI Development
  • Medical Informatics

Background:

  • Embodied AI (E-AI), including surgical robotics, requires specialized data platforms for development and deployment.
  • Existing data solutions may not adequately support the complex needs of real-time AI processing in clinical settings.

Purpose of the Study:

  • To present and evaluate MUTUAL, a cross-platform multimodal data recording and streaming software.
  • To introduce and assess MUTUAL-ROS 2, a distributed adaptation for E-AI systems.
  • To compare the performance and suitability of both systems for surgical data management.

Main Methods:

  • Deployment of MUTUAL and MUTUAL-ROS 2 on two clinical studies.
  • Comparative analysis of recording performance across different settings and modalities (video, audio, expert commentary).
  • Evaluation of real-time streaming capabilities and scalability for AI inference.

Main Results:

  • MUTUAL demonstrates robust recording performance suitable for data curation and offline analysis.
  • MUTUAL-ROS 2 shows advantages in real-time streaming and horizontal scalability for E-AI in the operating room.
  • MUTUAL-ROS 2's recording reliability needs further enhancement for distributed, edge-processed modalities.

Conclusions:

  • MUTUAL is ideal for comprehensive data collection and post-operative analysis.
  • MUTUAL-ROS 2 is better suited for real-time AI inference and scalable E-AI applications in surgery.
  • Optimizing MUTUAL-ROS 2 for recording reliability in distributed environments is crucial for advancing surgical E-AI.